International Journal of
Computer Sciences and Engineering

Scholarly, Peer-Reviewed and Fully Refereed Academic Research Journal

Flash News 

Full paper submission has now been opened for August edition. You can upload your full paper using the required templates to the Online Submission System. Deadline for uploading the full papers is 22 August 2018.

iEDDEEC: Improved Enhanced Developed Distributed Energy Efficient Clustering Protocol for Heterogeneous Wireless Sensor Networks
Open Access   Article

iEDDEEC: Improved Enhanced Developed Distributed Energy Efficient Clustering Protocol for Heterogeneous Wireless Sensor Networks
G. Kaur1 , S. Sharma2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-6 , Page no. 27-36, Jun-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i6.2736

Online published on Jun 30, 2018

Copyright © G. Kaur, S. Sharma . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 
View this paper at   Google Scholar | DPI Digital Library
  XML View PDF Download  
Citation

IEEE Style Citation: G. Kaur, S. Sharma, “iEDDEEC: Improved Enhanced Developed Distributed Energy Efficient Clustering Protocol for Heterogeneous Wireless Sensor Networks”, International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.27-36, 2018.

MLA Style Citation: G. Kaur, S. Sharma "iEDDEEC: Improved Enhanced Developed Distributed Energy Efficient Clustering Protocol for Heterogeneous Wireless Sensor Networks." International Journal of Computer Sciences and Engineering 6.6 (2018): 27-36.

APA Style Citation: G. Kaur, S. Sharma, (2018). iEDDEEC: Improved Enhanced Developed Distributed Energy Efficient Clustering Protocol for Heterogeneous Wireless Sensor Networks. International Journal of Computer Sciences and Engineering, 6(6), 27-36.
VIEWS PDF XML
89 141 downloads 12 downloads
  
  
           
Abstract :
Wireless sensor networks have large number of sensor nodes, which sense and transmit data to the sink. Network lifetime is one of the key challenge for these networks due to limited capacity batteries of sensor nodes. Clustering techniques, being the prominent way to prolong network lifetime through data aggregation, are taken up in this work. DEEC and its variants improve network performance up to certain extent, still have scope for further improvement. EDDEEC, being the recent variant of DEEC, dynamically adjusts the CHs selection probability and selects the suitable CHs. Stability period, duration for which all network nodes are alive, is a more concrete performance parameter than network lifetime for reliable communication over the network. In this paper, an improved dynamic clustering technique, improved Enhanced Developed Distributed Energy Efficient Clustering protocol, is proposed and evaluated for various performance parameters. The results are analyzed and compared with relevant protocols, EDEEC and EDDEEC. Proposed technique iEDDEEC dynamically elects cluster-heads based on selection probability and threshold value of different nodes. The probability of a node to become cluster-head is decided with the ratio between residual energy of each node and average energy of the network, while threshold depends upon the current network state. Simulation results shows that iEDDEEC protocol extends the stability period of underlying network with improved throughput and energy dissipation.
Key-Words / Index Term :
Clustering; Energy; heterogeneous; stability period; wireless sensor networks
References :
[1] J. Yick, B. Mukherjee, and D. Ghosal, “Wireless sensor network survey”, Computer Networks, Vol.52, Issue.12, pp.2292–2330, 2008.
[2] J. Yan, M. Zhou, and Z. Ding, “Recent Advances in Energy-Efficient Routing Protocols for Wireless Sensor Networks”, Middle-East J. Sci. Res., Vol.4, pp.5673–5686, 2016.
[3] K. Akkaya and M. Younis, “A survey on routing protocols for wireless sensor networks”, Ad Hoc Networks, Vol.3, Issue.3, pp. 325–349, 2005.
[4] W.B. Heinzelman, A.P. Chandrakasan, and H. Balakrishnan, “An application-specific protocol architecture for wireless microsensor networks”, IEEE Trans. Wirel. Commun., Vol.1, Issue.4, pp.660–670, 2002.
[5] G. Smaragdakis, I. Matta and A. Bestavros, “SEP: A stable election protocol for clustered heterogeneous wireless sensor networks”, Second Int. Work. Sens. Actor Netw. Protoc. Appl. (SANPA 2004), pp.1–11, 2004.
[6] L. Qing, Q. Zhu, and M. Wang, “Design of a distributed energy-efficient clustering algorithm for heterogeneous wireless sensor networks”, Comput. Commun., Vol.29, Issue.12, pp.2230–2237, 2006.
[7] B. Elbhiri, S. Rachid, S. Fkihi, and D. Aboutajdine, “Developed Distributed Energy-Efficient Clustering (DDEEC) for heterogeneous wireless sensor networks”, 2010 5th Int. Symp. I/V Commun. Mob. Networks, ISIVC 2010, pp.1–4, 2010.
[8] P. Saini and A. K. Sharma, “E-DEEC - Enhanced distributed energy efficient clustering scheme for heterogeneous WSN”, 2010 1st Int. Conf. Parallel, Distrib. Grid Comput. PDGC - 2010, pp.205–210, 2010.
[9] N. Javaid et al., “An energy-efficient distributed clustering algorithm for heterogeneous WSNs”, Eurasip J. Wirel. Commun. Netw., Vol.15, Issue.1, pp.1–11, 2015.
[10] W. R. Heinzelman, A. Chandrakasan, and H. Balakrishnan, “Energy-efficient communication protocol for wireless microsensor networks”, Proc. 33rd Annu. Hawaii Int. Conf. Syst. Sci., Vol.1, Issue.11, pp.10-15, 2000.
[11] D. Kumar, T. C. Aseri, and R. B. Patel, “EEHC: Energy efficient heterogeneous clustered scheme for wireless sensor networks”, Comput. Commun., Vol.32, Issue.4, pp.662–667, 2009.